Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by N Satoh
Total Records ( 2 ) for N Satoh
  T Kawashima , S Kawashima , C Tanaka , M Murai , M Yoneda , N. H Putnam , D. S Rokhsar , M Kanehisa , N Satoh and H. Wada
 

The evolution of vertebrates has included a number of important events: the development of cartilage, the immune system, and complicated craniofacial structures. Here, we examine domain shuffling as one of the mechanisms that contributes novel genetic material required for vertebrate evolution. We mapped domain-shuffling events during the evolution of deuterostomes with a focus on how domain shuffling contributed to the evolution of vertebrate- and chordate-specific characteristics. We identified ~1000 new domain pairs in the vertebrate lineage, including ~100 that were shared by all seven of the vertebrate species examined. Some of these pairs occur in the protein components of vertebrate-specific structures, such as cartilage and the inner ear, suggesting that domain shuffling made a marked contribution to the evolution of vertebrate-specific characteristics. The evolutionary history of the domain pairs is traceable; for example, the Xlink domain of aggrecan, one of the major components of cartilage, was originally utilized as a functional domain of a surface molecule of blood cells in protochordate ancestors, and it was recruited by the protein of the matrix component of cartilage in the vertebrate ancestor. We also identified genes that were created as a result of domain shuffling in ancestral chordates. Some of these are involved in the functions of chordate structures, such as the endostyle, Reissner's fiber of the neural tube, and the notochord. Our analyses shed new light on the role of domain shuffling, especially in the evolution of vertebrates and chordates.

  O Tassy , D Dauga , F Daian , D Sobral , F Robin , P Khoueiry , D Salgado , V Fox , D Caillol , R Schiappa , B Laporte , A Rios , G Luxardi , T Kusakabe , J. S Joly , S Darras , L Christiaen , M Contensin , H Auger , C Lamy , C Hudson , U Rothbacher , M. J Gilchrist , K. W Makabe , K Hotta , S Fujiwara , N Satoh , Y Satou and P. Lemaire
 

Developmental biology aims to understand how the dynamics of embryonic shapes and organ functions are encoded in linear DNA molecules. Thanks to recent progress in genomics and imaging technologies, systemic approaches are now used in parallel with small-scale studies to establish links between genomic information and phenotypes, often described at the subcellular level. Current model organism databases, however, do not integrate heterogeneous data sets at different scales into a global view of the developmental program. Here, we present a novel, generic digital system, NISEED, and its implementation, ANISEED, to ascidians, which are invertebrate chordates suitable for developmental systems biology approaches. ANISEED hosts an unprecedented combination of anatomical and molecular data on ascidian development. This includes the first detailed anatomical ontologies for these embryos, and quantitative geometrical descriptions of developing cells obtained from reconstructed three-dimensional (3D) embryos up to the gastrula stages. Fully annotated gene model sets are linked to 30,000 high-resolution spatial gene expression patterns in wild-type and experimentally manipulated conditions and to 528 experimentally validated cis-regulatory regions imported from specialized databases or extracted from 160 literature articles. This highly structured data set can be explored via a Developmental Browser, a Genome Browser, and a 3D Virtual Embryo module. We show how integration of heterogeneous data in ANISEED can provide a system-level understanding of the developmental program through the automatic inference of gene regulatory interactions, the identification of inducing signals, and the discovery and explanation of novel asymmetric divisions.

 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility